Registration & Dates
||Early Bird Rate
||November 4 – 6
||Ends September 4
||December 9 – 11
||Los Angeles, USA
||Ends October 9
||January 27 – 29
||Ends November 27
||March 30 – April 1
||New York, USA
||Ends January 30
Fees & Discounts
All amounts are in US$ unless otherwise noted.
- We offer a discount of 20% for three or more people from one organization.
- Use the same organization name for each person.
- At checkout, enter the code EARLYGROUP for each early bird rate registration, and STANDARDGROUP for each standard rate registration.
- These discounts are available on general rates only.
What the fee includes:
- Copy of all lecture materials in a binder
- Coffee breaks
Reservations will be cancelled unless payment is received (a) within one month of the booking or (b) one month prior to the course (whichever is sooner). Please contact us if you need to make other arrangements.
- More than a month before the conference – refund to original payment method, less US$100 service fee.
- More than a week before the conference – refund to original payment method, less US$400 service fee.
- Within a week of conference and no-shows – no refund.
- Refunds will always be made to the original payment method and account used on the purchase.
We will do our best to accommodate any special requests for food and access. Please let us know when registering.
In the very unlikely event that we need to cancel a conference, all payments for the conference will be refunded. We cannot refund payment for your travel.
This course is an eye-opening experience regarding how to use meta-analysis, especially in the field of health sciences. Tons of information that would equip you with the tools to carry out a meta-analysis with ease and confidence. A "must-take" course. I recommend to all my colleagues. Thank you so much, Michael.
Dr. Muneera Al-Ghanim, Kuwait University, HSC
Our group has recently begun to conduct meta-analyses within our area of research, i.e. psycho-oncology and health psychology, and we have found CMA extremely useful. CMA distinguishes itself from other available meta-analysis software by the various options to explore and adjust for possible publication bias, as well as by providing several options to explore possible moderators, not only categorical but also continuous. We encourage our PhD students to conduct quantitative systematic reviews as a part of their dissertation whenever possible. The clear menu-driven approach of CMA makes it easy to use for beginners, so that they can focus their energy on the analytical aspects of meta-analysis, rather than on the technical issues of using the software.
Bobby (Robert) Zachariae, Professor, dr.med., Psycho-oncology Research Unit, Aarhus University Hospital, Denmark